Staff Engineer - Full Stack focusing on architecting and developing complex applications. Join a high - performing technology team in India committed to innovation and growth.
About the role
- AI-Native Engineering Lead at PwC overseeing cloud migration strategies and mentoring teams for developing innovative software solutions. Focus on AWS cloud and AI-native practices while ensuring quality and security.
Responsibilities
- Lead architecture and technical strategy for migrating legacy and on-premises applications to AWS cloud.
- Assess existing application architectures and codebases for cloud readiness and modernization opportunities.
- Design scalable, secure, and automated migration solutions for full stack applications (front-end, back-end, data layers).
- Implement application refactoring, re-platforming, or re-architecting efforts to leverage AWS native services (e.g., Lambda, ECS/EKS, RDS, DynamoDB).
- Develop front-end and back-end architectures ensuring seamless integration and cloud compatibility.
- Define cloud infrastructure using Infrastructure as Code (IaC) tools such as AWS CloudFormation, Terraform, or AWS CDK.
- Create and maintain CI/CD pipelines for continuous integration and automated deployments, incorporating AI-powered code quality gates and automated security scanning.
- Lead and mentor development teams on AI-native engineering practices, establishing standards for AI tool adoption and measuring productivity gains across modern development frameworks and backend technologies.
- Collaborate with cross-functional teams including DevOps, security, QA, and product to ensure successful migration and operation.
- Develop and enforce cloud migration best practices, security policies, and governance.
- Evaluate and integrate agentic AI solutions into development and deployment workflows to drive automation and efficiency.
- Identify and mitigate risks associated with migration activities.
- Monitor migrated applications for performance, cost optimization, and security compliance on AWS.
- Stay current with AWS migration tools, AI development tools, and cloud-native patterns to continuously improve approach.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 7+ years of IT experience including extensive software development and application architecture.
- Minimum 3 years of hands-on experience with AWS cloud solutions, focusing on application migration and modernization.
- Daily proficiency with AI coding assistants (GitHub Copilot, Cursor, Claude Code, Codex, or Kiro) with demonstrated ability to improve team productivity through AI tool adoption.
- Experience measuring and reporting AI-driven productivity improvements across engineering teams.
- Familiarity with agentic AI frameworks including LangChain, Claude Agent SDK, and Bedrock Agent SDK, and their application in the SDLC.
- Understanding of AI agents in development workflows (automated code review, deployment agents, testing agents).
- Strong full stack development skills with front-end (React, Angular, Vue.js) and back-end (Node.js, Java, Python, .NET) frameworks.
- Experience migrating monolithic, legacy, or on-premises applications to AWS (lift-and-shift, re-platforming, refactoring).
- Deep knowledge of AWS services: EC2, Lambda, ECS/EKS, API Gateway, RDS, DynamoDB, S3, Cognito, CloudWatch, IAM.
- Strong skills in Infrastructure as Code (CloudFormation, Terraform, CDK).
- Proficient with containerization and orchestration (Docker, Kubernetes, AWS ECS/EKS).
- Experience setting up automated CI/CD pipelines (AWS CodePipeline, Jenkins, GitLab CI).
- In-depth understanding of microservices architecture, serverless paradigms, and event-driven design.
- Solid experience in application security best practices on AWS.
- Excellent analytical, communication, and stakeholder management skills.
- Proven success in leading cloud migration projects impacting multiple application layers.
Benefits
- Medical
- Dental
- Vision
- 401k
- Holiday Pay
- Vacation
- Personal and Family Sick Leave
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